Establish Data Governance
Establish data trust and accountability with strong governance.
Onsite Workshop
Lack of a formalized data governance program will cause:
- Inability to make good decisions.
- Dissatisfaction from customers, partners, and suppliers.
- Wasted time and efforts from sifting through duplicate and incomplete data.
- Inadequate data for business operations.
A data governance program will:
- Decrease the amount of duplicate, rogue, incomplete, and stale data to enhance user trust.
- Provide quicker and more accurate business reports that are not conflicting and help to aid decision making.
- Provide concrete data to back business decisions.
- Enable strong customer/supplier relationships as there is little miscommunication or confusion around relevant data.
- Save time and money by catching and clearing up data as it enters the system before it has a chance to impact the business.
- Mitigate data compliance and security risks through appropriate data policies and procedures.
Module 1: Develop a Vision for the Data Governance Program
The Purpose
- Identify key business data assets that need to be governed.
- Create a unifying vision for the data governance program.
Key Benefits Achieved
- Understand the value of data governance and how it can help the organization better leverage its data.
- Gain knowledge of how data governance can benefit both IT and the business.
Activities: | Outputs: | |
---|---|---|
1.1 | Establish business context and value of data governance to the organization |
|
1.2 | Assess the value, benefits, challenges, and opportunities associated with data governance |
|
1.3 | Develop the vision, purpose, and scope of data governance for the business |
|
1.4 | Identify data governance enablers |
|
1.5 | Interview business stakeholders |
|
Module 2: Assess Data Flow in the Business
The Purpose
- Assess which data contains value and/or risk and determine metrics that will determine how valuable the data is to the organization.
- Assess where the organization currently stands in data governance initiatives.
- Determine gaps between the current and future states of the data governance program.
Key Benefits Achieved
- Gain a holistic understanding of organizational data and how it flows through business units and systems.
- Identify which data should fall under the governance umbrella.
- Determine a practical starting point for the program.
Activities: | Outputs: | |
---|---|---|
2.1 | Evaluate the risks and value of critical data |
|
2.2 | Map and understand the flow of data within the business |
|
2.3 | Identify data sources and users |
|
2.4 | Assess current data governance capabilities |
|
2.5 | Set target data governance capabilities |
|
2.6 | Identify performance gaps |
|
Module 3: Analyze Gaps and Develop Initiatives
The Purpose
- Determine strategic initiatives and create a roadmap outlining key steps required to get the organization to start enabling data-driven insights.
- Determine timing of the initiatives.
Key Benefits Achieved
- Establish clear direction for the data governance program.
- Step-by-step outline of how to create effective data governance, with true business-IT collaboration.
Activities: | Outputs: | |
---|---|---|
3.1 | Evaluate performance gaps for remediation |
|
3.2 | Develop alignment of initiatives to strategies |
|
3.3 | Consolidate data governance initiatives and strategies |
|
3.4 | Develop a project timeline and define key success factors |
|
Module 4: Design Roadmap and Plan Implementation
The Purpose
- Consolidate the roadmap and other strategies to determine the plan of action from Day One.
- Create the required policies, procedures, and positions for data governance to be sustainable and effective.
Key Benefits Achieved
- Prioritized initiatives with dependencies mapped out.
- A clearly communicated plan for data governance that will have full business backing.
Activities: | Outputs: | |
---|---|---|
4.1 | Develop a plan of action |
|
4.2 | Prioritize actions |
|
4.3 | Build a data governance roadmap (short and long term) |
|